For staffing agencies & HR teams

Parse every resume.
Line up every field. Automatically.

A role opens and 500 resumes hit an inbox — Lymnus parses names, skills, dates, and rates from each one, scores every field, and lines them up in a clean comparison sheet or your ATS.

No card needed SSO & SCIM built in 1% to climate

candidate-batch-mar.pdf via email-in
vendor_name J. Alvarez — Senior Analyst 99%
reference_id REF-2026-041 98%
total_amount 87%

↳ flagged for a 10-second human check

Bill created in QuickBooks J. Alvarez — Senior Analyst · REF-2026-041 · —
Would post to + 39 more

document in → clean entry out · no templates · no retyping

Your documents already contain the data. Someone just has to type it. Today that someone is you.

Every resume, a different layout

No two formats match, and someone has to normalize them all into comparable fields.

Timesheets typed before payroll

Contractor hours keyed by hand every Monday before a run can start.

Right-to-work checks stack up

Each document read and verified manually, every hire.

How it works

A pipeline you set up once. Then it just runs.

01

Resumes parsed into one comparison sheet

Skills, dates, and rates extracted and aligned side by side — no re-typing.

02

Timesheets routed into payroll prep

Contractors forward hours to a dedicated address; fields are validated and pushed automatically.

03

Right-to-work docs extracted in full

Every required field captured and scored, ready for your records.

The review queue

You review exceptions. Not everything.

Most documents flow straight through. When Lymnus is less than sure about a field — a smudged total, a handwritten date — that one document waits for a ten-second human check. Every correction makes your pipeline sharper.

A number that grows every week: the share of documents that never needed you at all.

The pipeline does more than read

Extraction is the first step — not the whole job.

Clean & merge, not just extract

Deduplicate, normalize dates and currencies, standardize vendor names, and merge many files into one clean dataset — as a step in the same pipeline.

Reads documents in 41 languages

A supplier invoice in German, a receipt in Japanese, a form in English — extracted into the same clean fields, in the language you work in.

Ask your documents anything

Once the data is in, the built-in assistant answers plain-English questions across everything your pipelines have processed — no formulas, no exports.

Reports that build themselves

Turn processed data into charts, summaries, and shareable reports — generated from your pipelines and exported wherever you work.

Built for teams

Share pipelines with your team, track every edit, fear no mistakes, and instantly revert incorrect data with a visual audit log, or add SSO and roles when you need them.

An API underneath it all

Everything the pipeline does is available over the API — push documents in, receive webhooks out, and build your own flows on top.

Ends up in your system, not ours.

QuickBooks Xero Google Sheets Excel Airtable Smartsheet Google Drive Dropbox OneDrive Notion PostgreSQL Snowflake Zapier Odoo Hubspot BigQuery PowerBi MySQL Salesforce Freshbooks MongoDB SharePoint API + webhooks
+ 39 more
SSO / SAML SCIM IP allowlists GDPR Enterprise →

Committed to Cleaner Compute.

Running software at scale consumes significant energy. That's why Lymnus commits 1% of revenue to verified CO₂ removal — offsetting the environmental cost of the infrastructure that powers your workflows, at no extra cost to you.

Your next 10 documents are on us.

No card needed